£650 Per day
Inside
Remote
Remote work
Summary: The Data Analyst role at a leading IT consultancy involves supporting end-to-end data transformation projects with a focus on product and item-level data. The position requires collaboration with engineering and business consulting teams to leverage data for actionable insights. The ideal candidate will have experience in managing complex data sets and optimizing data pipelines. This is a fully remote position offering competitive daily rates within the consultancy sector.
Key Responsibilities:
- Analyse, cleanse, and model complex product/item data sets for reporting and analytics
- Work with Informatica P360 (Product 360) to manage and optimise product data pipelines
- Develop data workflows and perform advanced analysis using Databricks and Azure Data Services
- Collaborate with cross-functional teams to gather requirements and translate business needs into technical specs
- Ensure high data quality, consistency, and alignment across systems
- Create dashboards and reports to support data-driven decision-making
Key Skills:
- Proven experience as a Data Analyst within consultancy or large-scale IT project environments
- Strong hands-on experience with Informatica / P360 for MDM or product-related data initiatives
- Proficient in Azure Stack (Azure Data Factory, Azure SQL, Synapse, etc.)
- Solid experience with Databricks for big data processing and analysis
- Excellent SQL skills and ability to manipulate, interpret, and present complex data sets
- Understanding of data governance, data quality, and data modelling principles
- Strong communication and stakeholder engagement skills
Salary (Rate): £650/day
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Data Analyst – IT Consultancy – £550-650pd Inside IR35 - Remote
Overview:I’m currently partnered with a leading IT consultancy delivering innovative data and digital solutions to a range of enterprise clients across sectors including retail, healthcare, and manufacturing. The team thrives on solving complex business challenges using modern technologies and are now looking to expand their data capability with a skilled Data Analyst who can hit the ground running. You’ll play a key part in supporting end-to-end data transformation projects with a strong focus on product and item-level data. Working closely with the engineering and business consulting teams, you will be instrumental in leveraging data to drive actionable insights for their clients.
Key Responsibilities:
- Analyse, cleanse, and model complex product/item data sets for reporting and analytics
- Work with Informatica P360 (Product 360) to manage and optimise product data pipelines
- Develop data workflows and perform advanced analysis using Databricks and Azure Data Services
- Collaborate with cross-functional teams to gather requirements and translate business needs into technical specs
- Ensure high data quality, consistency, and alignment across systems
- Create dashboards and reports to support data-driven decision-making
Skills & Experience Required:
- Proven experience as a Data Analyst within consultancy or large-scale IT project environments
- Strong hands-on experience with Informatica / P360 for MDM or product-related data initiatives
- Proficient in Azure Stack (Azure Data Factory, Azure SQL, Synapse, etc.)
- Solid experience with Databricks for big data processing and analysis
- Excellent SQL skills and ability to manipulate, interpret, and present complex data sets
- Understanding of data governance, data quality, and data modelling principles
- Strong communication and stakeholder engagement skills
Desirable Skills:
- Background working with retail, eCommerce, or manufacturing datasets
- Experience with Power BI or other data visualisation tools
Package:£550-650pd Inside IR356 month contract (may be extended)Fully remote positionExciting projects with high-profile clientsCollaborative and forward-thinking data cultureOpportunities to work with modern cloud-based data platformsExcellent career development and training support